Extracting page shingle hashes for similarity detection.

chrome/common/safe_browsing/client_model.proto

 // Copyright (c) 2011 The Chromium Authors. All rights reserved.
 // Use of this source code is governed by a BSD-style license that can be
 // found in the LICENSE file.
 //
 // This proto represents a machine learning model which is used to compute
 // the probability that a particular page visited by Chrome is phishing.
 //
 // Note: sine the machine learning model is trained on the server-side and then
 // downloaded onto the client it is important that this proto file stays in
 // sync with the server-side copy.  Otherwise, the client may not be able to
@@ skipping 70 matching lines @@
     // is hashed using sha256.
     required bytes prefix = 1;
 
     // Network prefix size in bits.  Default is an exact-host match.
     optional int32 size = 2 [default = 128];
   };
   repeated IPSubnet bad_subnet = 7;
 
   // Murmur hash seed that was used to hash the page words.
   optional fixed32 murmur_hash_seed = 8;
+
+  // Maximum number of unique shingle hashes per page.
+  optional int32 max_shingles_per_page = 9 [default = 200];
+
+  // The number of words in a shingle.
+  optional int32 shingle_size = 10 [default = 4];
 }